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Paper Citation Record · LEDGER

Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning

As of 12 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2502.10431.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.10431 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:00:00.449779Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved25
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e26ed5ac-6b5e-4cb3-9361-e30604cb35d2 · outbound

This paper cites an unresolved cited work.

Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-08T19:00:00.871617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T19:00:00.320240Z digest=sha256:4d2fbd07a64d361658b3e07a4ef89c68522dd0b157fd852a3626ae0d2f2104db

Observation 9bee4a20-5f0d-4f65-9f2f-ad7b0363791c · outbound

This paper cites an unresolved cited work.

Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-08T19:00:00.858089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T19:00:00.325619Z digest=sha256:5f9bbee67b94beecf1fd2e53869ecef54fba1b080670a71b334cc0f3bfdb81ef

Observation 0474f022-f15f-44ef-addd-ff1a774cfa78 · outbound

This paper cites an unresolved cited work.

Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-08T19:00:00.844003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T19:00:00.330272Z digest=sha256:86afbd60b2c2baae6375db58bcd7124d3ed52ac2cdd8138a95096d8a7ade30c0

Observation dc04cf35-734e-4b97-bbaa-614c2a4b5f39 · outbound

This paper cites C.; Ling, J.; and Kumar, A.

Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning C.; Ling, J.; and Kumar, A

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:00:00.828322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T19:00:00.335053Z digest=sha256:0020811afba016c295dd4f59501782483ef7b928e2eb192a8005bdc0d0c9e4c0

Observation a18c8088-b928-49e8-9006-c1fa5ac2df42 · outbound

This paper cites an unresolved cited work.

Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-08T19:00:00.814543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T19:00:00.340094Z digest=sha256:dc674056104b531875188f272ac683a5a56592598779120be8b7368a9a7c0004

Observation 33f25a5b-a42f-4ace-a3bb-ba294357e50a · outbound

This paper cites H.; Sinha, A.; and Varakantham, P.

Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning H.; Sinha, A.; and Varakantham, P

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:00:00.800939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T19:00:00.344922Z digest=sha256:bab6093ce8bc86e5f0313426d7c5473a8fcb087dd648c0a5c90de2caae6080fe

Observation e4980115-9285-4948-8370-37b959f59f20 · outbound

This paper cites Safe Exploration in Continuous Action Spaces.

Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning Safe Exploration in Continuous Action Spaces

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-08T19:00:00.350069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T19:00:00.350069Z digest=sha256:2c51cfe28f3e7f63cdca410fad2e364595e1812ed4f6708e0fa08012e1e242f9

Observation 51f3918a-128e-4b36-80ed-5bca3c3892df · outbound

This paper cites an unresolved cited work.

Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-08T19:00:00.786649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T19:00:00.355339Z digest=sha256:027aecb01a7607d8e18ce9222461b85865f376d6e04cada503e5006aa6a0f0d8

Observation 5aac8e23-ea69-4ec2-b8aa-5ce0b39f39dc · outbound

This paper cites an unresolved cited work.

Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-08T19:00:00.774157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T19:00:00.359777Z digest=sha256:3fa519a8363b66b5ab77d0f7d3e9a5c43a21ac009540e6595269ef99f33d3e5a

Observation cca2b393-a8c0-4a25-944f-2d740ada1f84 · outbound

This paper cites an unresolved cited work.

Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-08T19:00:00.364198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T19:00:00.364198Z digest=sha256:46da2bc015ad07c99e0dd83cbc9af6e12becd7e3e2c57119f2230eacc9fece56

Observation f7d1e951-b2c3-4f7e-b01d-063d7ab940fd · outbound

This paper cites an unresolved cited work.

Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-08T19:00:00.751044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T19:00:00.368883Z digest=sha256:9f15abd1cfaaa858110cb788b21717190f4a587e851233c6b0cadf32cf3d4281

Observation 044a8f1e-f3ae-4178-96fd-8a99bb0c5903 · outbound

This paper cites an unresolved cited work.

Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-08T19:00:00.736898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T19:00:00.373207Z digest=sha256:ed027b2eb479c93eb737e0019db1021edd6b0fb405e5c16a72c57b306d9ace22

Observation ae22e4fd-3978-4176-8ca5-36821e9231e0 · outbound

This paper cites Auto-Encoding Variational Bayes.

Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning Auto-Encoding Variational Bayes

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-08T19:00:00.378829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T19:00:00.378829Z digest=sha256:f03ee0a90c3d3c12ee50c97393337802c9f3c2c15bcc5126081c64e09039f778

Observation fdfb2bb5-8ecd-4677-8a7c-2dc4338f8417 · outbound

This paper cites P.; Hunt, J.

Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning P.; Hunt, J

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:00:00.723002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T19:00:00.383476Z digest=sha256:3384cf334abe0695e62e89ae47fcc14369d658bc3b7e87b021e3d8911171bfb2

Observation 43e1ae76-31e5-4eb0-8b63-1b4180489a51 · outbound

This paper cites an unresolved cited work.

Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-08T19:00:00.709104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T19:00:00.387866Z digest=sha256:777c78fea61c5b54a0bb047890be199d26775eeca8ea1e3ca671eaf7b078ae64

Observation 66b08cd2-fe3a-44f6-9e60-19a64d3f1df5 · outbound

This paper cites an unresolved cited work.

Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-08T19:00:00.695081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T19:00:00.392294Z digest=sha256:bccc7e17e9187590bbd6b8a3381671a4176dbebaffa5f3bd14b8a352b77b84d6

Observation a4fb8899-01bc-436b-8142-24bbcf6a4af4 · outbound

This paper cites an unresolved cited work.

Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-08T19:00:00.681231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T19:00:00.396716Z digest=sha256:a606af75bb87e864cd144cc81506ca529a6c9bec5b3029463693045aa75fce67

Observation ab3ae500-cce9-410c-8934-550000fd2f88 · outbound

This paper cites A.; Veness, J.; Bellemare, M.

Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning A.; Veness, J.; Bellemare, M

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-08T19:00:00.401038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T19:00:00.401038Z digest=sha256:3d001be687ee7ddfbc2d56b2045253e87e9f22974d15272060a1acd7f54cdad1

Observation 59ac2035-6c26-43db-8989-27f940d4fca8 · outbound

This paper cites an unresolved cited work.

Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-08T19:00:00.658233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T19:00:00.405375Z digest=sha256:3304d31b600ec6e759dd8730e472a0b668394a7f465ef89a298259d5a69a7805

Observation 3a91985c-5007-4b89-876d-c75bada43076 · outbound

This paper cites J.; Mohamed, S.; and Lakshminarayanan, B.

Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning J.; Mohamed, S.; and Lakshminarayanan, B

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:00:00.643358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T19:00:00.409632Z digest=sha256:edfa5e904593e738047f06283395e8ffdc09b0b8be289d1485605a617f5b5f10

Observation 9ff7e777-d457-41f6-b4ad-1f475ee8e079 · outbound

This paper cites an unresolved cited work.

Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-08T19:00:00.629591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T19:00:00.414027Z digest=sha256:f7735aeea76af548d1cefed283f49ce201bd6b571019a0b35861e17c4e08cd5f

Observation 8a86831c-da94-40e4-b44c-63a0d5089863 · outbound

This paper cites an unresolved cited work.

Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-08T19:00:00.614937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T19:00:00.418270Z digest=sha256:26602e40765941a3cebac461de842b083357414f790097e8c4f4d86134132613

Observation 58b77229-7eb8-45d4-ba84-13e106d7ae8e · outbound

This paper cites E.; Ibarz, J.; Finn, C.; and Goldberg, K.

Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning E.; Ibarz, J.; Finn, C.; and Goldberg, K

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:00:00.601108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T19:00:00.422603Z digest=sha256:0c162b0485bee8401f966ab21f5cdf9e483e86e6f9eb37a67f45a8dbc7646b72

Observation 30bf8d77-867f-4a52-9cdd-0b8a53b3179c · outbound

This paper cites an unresolved cited work.

Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-08T19:00:00.586137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T19:00:00.426331Z digest=sha256:27a4d4afe5100c5ed48a2376fcf4fd831670b4d1ced4204f0b5ef44c597433cb

Observation 2850a9e1-2df9-4a1e-8782-82c5ce035e38 · outbound

This paper cites an unresolved cited work.

Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning Unresolved cited work

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-08T19:00:00.429902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T19:00:00.429902Z digest=sha256:170cdcc8641bf22aab5fa704db91c45fe4e0f2e44ba1638df5fefad76124856f

Observation c9ded236-c6ab-493d-8c08-18b05c5384d1 · outbound

This paper cites Improving Exploration in Soft-Actor-Critic with Normalizing Flows Policies.

Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning Improving Exploration in Soft-Actor-Critic with Normalizing Flows Policies

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-08T19:00:00.433301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T19:00:00.433301Z digest=sha256:2672b40d6b6591957e2f48c0d2b89e84dd55b3938c6bb347924792be22c354a8

Observation aaa1a709-b8cf-42ad-a171-87f4c3bf124b · outbound

This paper cites an unresolved cited work.

Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-08T19:00:00.562729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T19:00:00.437060Z digest=sha256:09aaf0e620d865a4698332024a4ff9f1de5fb08b404903a3b89be1b5476f1eff

Observation 54538de1-aa23-4c20-b6c2-5bd8e2cfe1de · outbound

This paper cites State-wise Safe Reinforcement Learning: A Survey.

Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning State-wise Safe Reinforcement Learning: A Survey

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-08T19:00:00.440808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T19:00:00.440808Z digest=sha256:08643e2a1e9e9df41bf5ef4f82bc478de85437b24e72db9403f42b1f3b36777f

Observation bdcbdd19-f224-41fa-8197-0b3f5f788996 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning , " * write output.state after.block = add.period write newline

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-08T19:00:00.445079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T19:00:00.445079Z digest=sha256:61a441ba2c4e3a106d431b94fc0ea8af3fe632f297b93f85be66dea5f91b47ff

Observation c922132a-b2e7-478a-8663-8b662d24f0d4 · outbound

This paper cites write newline.

Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning write newline

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-08T19:00:00.449779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T19:00:00.449779Z digest=sha256:362e330c6ad8518ad06e9816a53bc0fc8465f40b947d789262b7a52cadc726a6

Pith citing papers

No inbound Pith citation observations are available.